Full-Stack Engineer (Data Visualization & React)

Impact; North Carolina; On-site; USD 90,000 - 110,000; Full time

Benefits offered by this job

RSUs

Parental leave

Coursera subscription

Technology stipend

Gym reimbursement

Flexible PTO

401(k)

Job summary

impact.com, a leading commerce partnership platform, is hiring an Intermediate Full Stack Software Engineer for its Data Viz squad. You will build and support features used by top brands to analyze and act on data.

You’ll work with Java, Spring, Hibernate, and React to deliver robust reporting tools, while embracing TDD and scalable APIs. A strong collaborator, you’ll help translate complex datasets into intuitive interfaces.

Qualifications

• Bachelor’s degree in Computer Science or a technical field or equivalent hands‑on experience.
• 2+ years of experience building full‑stack applications.
• Demonstrated proficiency in full‑stack development across JS/Java stacks.

Responsibilities

• Build and maintain interactive data visualization components using React, JavaScript, HTML, and CSS.
• Develop full‑stack features with scalable APIs using Java, Spring, Hibernate/JPA.
• Collaborate with PM/UX and engineers to translate data into elegant UI.
• Write unit and integration tests; adopt test‑driven development (TDD).
• Troubleshoot performance across client and server and optimize MySQL queries.

Skills

Java & Spring

Database & SQL

Web Fundamentals

React

Git

Testing & TDD

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Java

Spring

Hibernate/JPA

MySQL

REST APIs

Docker

Kubernetes

Gradle

Webpack/Vite

Job description

impact.com, a leading commerce partnership platform, is hiring an Intermediate Full Stack Software Engineer for its Data Viz squad. You will build and support features used by top brands to analyze and act on data.

You’ll work with Java, Spring, Hibernate, and React to deliver robust reporting tools, while embracing TDD and scalable APIs. A strong collaborator, you’ll help translate complex datasets into intuitive interfaces.